Book Content
chapters • 13h4m total length
1. Deep Learning for Games
2. Convolutional and Recurrent Networks
3. GAN for Games
4. Building a Deep Learning Gaming Chatbot
5. Introducing DRL
6. Unity ML-Agents
7. Agent and the Environment
8. Understanding PPO
9. Rewards and Reinforcement Learning
10. Imitation and Transfer Learning
11. Building Multi-Agent Environments
12. Debugging/Testing a Game with DRL
13. Obstacle Tower Challenge and Beyond
